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, and interdisciplinary research team, RE will develop and implement deep learning algorithms to analyze trap camera footage for wildlife monitoring and conservation efforts. Job Responsibilities
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into the School's activities. We are particularly interested in candidates with expertise in Digital Health and AI in Medicine, including machine learning (especially deep learning), natural language processing, and
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professional learning. The UEPC has a deep portfolio of research and evaluation projects in K-12 and higher education that range from small short-term projects with community-based organizations to multi-year
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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
applicant will contribute to the AIGLE project by: · Developing innovative scientific Deep Learning/Machine Learning algorithms for flash flood forecasting. · Contributing to the collection
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research leader with a strong record of culturally safe, community‑driven research that advances Aboriginal and Torres Strait Islander health. With deep experience working in partnership with communities
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addition to the mandatory requirements, documented experience in the following areas will be considered as strong merits: Practical experience in video and/or image analysis, especially with deep learning. Experience from
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Oregon’s AAVLD-accredited laboratory and a member of the National Animal Health Laboratory Network. The laboratory has a diverse caseload providing outstanding opportunities to teach enthusiastic students in
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and maintenance of productive and effective links inside the University and locally and nationally. What we’re looking for: Appointment at Level B: A PhD or equivalent in a relevant field. A good
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the development, evaluation, and practical application of machine learning methods (especially deep learning) Publication of scientific results in renowned international journals and conferences Teaching of courses
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: Required: • MSc (or equivalent) in: Computer Science, Cybersecurity, Machine Learning, or related field • Strong background in: machine learning / deep learning, mathematics (probability, linear algebra